Update README.md

README.md

@@ -37,7 +37,21 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model was created by importing the dataset of spiral drawings made by both parkinsons patients and healthy people into Google Colab from kaggle here: https://www.kaggle.com/datasets/kmader/parkinsons-drawings/data. I then used the image classification tutorial here: https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb
+
+obtaining the following notebook:
+
+https://colab.research.google.com/drive/1oRjwgHjmaQYRU1qf-TTV7cg1qMZXgMaO?usp=sharing
+
+The possible classified data are:
+<ul>
+<li>Healthy</li>
+<li>Parkinson</li>
+</ul>
+
+### Spiral drawing example:
+
+![Screenshot](N1.png)
 
 ## Intended uses & limitations
 
@@ -61,7 +75,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 30
+- num_epochs: 20
 
 ### Training results